![]() ![]() For new analyses, the new definition will be applied automatically. ![]() The reported trimmed mean will remain the same. When you selected a 20% trimmed mean in the old version, the report will show that this is now called a 10% trimmed mean. For the summary statistics report, when recalling older analyses, MedCalc will adapt the % value of the trimmed mean. This is in agreement with SPSS, R and other major statistical packages. ![]() This was in agreement with Excel - In the new MedCalc version, for a 20% trimming, the program trims 20% at the lower tail and 20% at the higher tail, so 40% in total. ROC curves are compared based on calculating the difference between the areas under the curves using standard error, 95% confidence interval and P-value.MedCalc 22.014 - Fixed some minor display problems MedCalc 22.013 - New: Comparison of trimmed means of paired samples - New: Yuen-Welch test for the comparison of 2 independent trimmed means Computional notes are given on Calculation of Trimmed Mean, SE and confidence interval Revision of the definition of "percentage trimmed": - In previous MedCalc versions, for a 20% trimming, the program would trim 10% at the lower tail and 10% at the higher tail, so 20% in total. You can choose threshold values in the dot diagram and the corresponding specificity and sensitivity is automatically calculated. The area under the curve is calculated with a 95% confidence interval and standard error. MedCalc provides a complete on line help documentation accessible on the official website but also an extensive PDF manual along with the application, for offline use. Missing data is handled appropriately and import is supported for various file formats like Excel, Dbase, Lotus, SPSS, DIF, SYLK and text. This highly useful piece of software comes with a built-in spreadsheet that can include as many as 10,000 rows. If you work in the biomedical field and often need to generate statistics from tons of data you’ll probably enjoy working with MedCalc. ![]() MedCalc: Powerful statistical application for biomedical sciences ![]()
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